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- T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for ...T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.
- RelEx, a narrow-AI component of OpenCog, is an English-language semantic relationship extractor, built on the Carnegie-Mellon link parser. It can identify ...RelEx, a narrow-AI component of OpenCog, is an English-language semantic relationship extractor, built on the Carnegie-Mellon link parser. It can identify subject, object, indirect object and many other dependency relationships between words in a sentence; it generates dependency trees, resembling those of dependency grammars.
- The objective of the ACE Program is to develop extraction technology to support automatic processing of source language data (in the form of natural text, ...The objective of the ACE Program is to develop extraction technology to support automatic processing of source language data (in the form of natural text, and as text derived from ASR and OCR). This includes classification, filtering, and selection based on the language content of the source data, i.e., based on the meaning conveyed by the data. Thus the ACE program requires the development of technologies that automatically detect and characterize this meaning. The ACE research objectives are viewed as the detection and characterization of Entities, Relations, and Events.
- Semantic MediaWiki (SMW) is a free extension of MediaWiki that helps to search, organise, tag, browse, evaluate, and share the wiki's content. While tradit...Semantic MediaWiki (SMW) is a free extension of MediaWiki that helps to search, organise, tag, browse, evaluate, and share the wiki's content. While traditional wikis contain only texts which computers can neither understand nor evaluate, SMW adds semantic annotations that bring the power of the Semantic Web to the wiki.
- Tasks and data of SemEval 2007
- Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics EACL 2006, page 3--7. Trento, Italy, The Association for Computer Linguistics, (April 2006)
- Bioinformatics 23(3):365-371 (2007)
- Bioinformatics 21(11):2759 (2005)
- Proceedings of the 23rd International Conference on Computational Linguistics Coling 2010, page 206--214. Beijing, China, Coling 2010 Organizing Committee, (August 2010)
- Coling 2010: Posters, page 757--765. Beijing, China, Coling 2010 Organizing Committee, (August 2010)
- Knowledge and Information Systems 17(1):17-33 (2008)
- BMC Bioinformatics (2007)
- The 3rd International Symposium on Languages in Biology and Medicine, page 8-10. (November 2009)informal publication .
- In Annual Proceedings of AMIA 2010, page 13--17. (November 2010)
- IEEE/ACM Transactions on Computational Biology and Bioinformatics 7(3):481--494 (May 2010)
- Proceedings of the 23rd International Conference on Computational Linguistics COLING 2010, page 788-796. (2010)
- ACL-44: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, page 825--832. Morristown, NJ, USA, Association for Computational Linguistics, (2006)
- Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing HLT '05, page 724--731. Association for Computational Linguistics Morristown, NJ, USA, (Oct 6, 2005)
- ACL, The Association for Computer Linguistics, (2005)
- KDD '10: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, page 773--782. New York, NY, USA, ACM, (2010)
- The Semantic Web - ISWC 2005, Springer, (2005)
- 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD 2006, page 712--717. New York, NY, USA, ACM, (2006)
- ECML/PKDD 1, volume 5211 of Lecture Notes in Computer Science, page 195-210. Springer, (2008)
- Max-Planck-Institut für Informatik, Saarbrücken, Germany, (April 2006)
- Ontology Learning and Population: Bridging the Gap between Text and Knowledge, volume 167 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2008)
